🎉 Scikit-learn 1.9 released: ■Solid improvements to many existing estimators: faster, more stable, handling missing values, adding GPU support… ■Also, enhanced estimator displays in notebooks, ■And callbacks that enable progress bars or monitoring of convergence blog.scikit-learn.org/updates/rele...

The CfP deadline for Compute! Paris 2026 was extended to Sunday, June 7! Just a few days left to submit a proposal on Open Source scientific compute, data science, ML & AI topics. Conference dates and venue: November 25–26, 2026, Sorbonne Université · Paris compute.events/paris2026/cf...

Call for Proposals — Compute! Paris 2026

Submit your talk proposal for Compute! Paris 2026. The Call for Proposals is open from April 15th to June 7th, 2026.

compute.events

Wolf Vollprecht, founder of Prefix.dev, creator of mamba & pixi, and conda-forge core maintainer, is keynoting Compute! Paris 2026! Hear his vision for the future of open-source tooling, performance, and data science infrastructure.

Researchers, educators, and PhD students: Compute! Paris 2026 (Nov 25-26) is your platform. Share your work on reproducible science and connect with peers who are pushing the same boundaries. compute.events/paris2026/ #ComputeParis

Compute! Paris 2026

Understanding your tools and algorithms is what gives you agency in a digital world. Paris, November 25–26, 2026.

compute.events

Mackenzie Mathis (EPFL neuroscientist, DeepLabCut & CEBRA co-creator and open science pioneer) is keynoting at Compute! Paris 2026! Her tools (used by 1000s of labs) decode behavior & neural activity. She explores adaptive intelligence, how brains and machines learn in a changing world.

The team of JupyterCon 2023, PyData Paris 2024 & 2025 organizes a new conference named Compute! Paris 2026 on open source computation and data. The event will take place on November 25–26, 2026 at Sorbonne Université in Paris. CfP deadline: May 24, 2026: compute.events/paris2026/cf...

Call for Proposals — Compute! Paris 2026

Submit your talk proposal for Compute! Paris 2026. The Call for Proposals is open from April 15th to May 24th, 2026.

compute.events

Here is the recording of the webinar I gave last week on GPU support in @scikit-learn.org and comparison of a scikit-learn pipeline vs the TabICLv2 foundational model on a non-linear heteroscedastic quantile regression task. app.livestorm.co/probabl/webi...

Olivier Grisel@ogrisel.bsky.social · 4mo ago

Tomorrow I will give an online demo of the use of the Python array API to develop a non-linear regression pipeline with GPU acceleration and uncertainty quantification. We will also introduce TabICLv2 and demo it on the same predictive tasks. Register here: www.linkedin.com/events/webin...

Tomorrow I will give an online demo of the use of the Python array API to develop a non-linear regression pipeline with GPU acceleration and uncertainty quantification. We will also introduce TabICLv2 and demo it on the same predictive tasks. Register here: www.linkedin.com/events/webin...

The next scikit-learn release will allow inspecting the type and values of attributes of fitted estimators in Jupyter notebooks & example code rendered as HTML in sphinx-gallery powered project websites. scikit-learn.org/dev/auto_exa...

Super hyped that it's finally out!

Gaël Varoquaux@gaelvaroquaux.bsky.social · 6mo ago

🎉 Announcing TabICLv2: State-of-the art Table Foundation Model, fast and open source A breakthrough for tabular ML: better prediction and faster runtime than alternatives, work by Jingang Qu, David Holzmüller @dholzmueller.bsky.social , Marine Le Morvan, and myself 👇

A new version of scikit-learn has been released 🥳 check out the highlights: scikit-learn.org/stable/auto_... Thanks everyone who contributed to this release! Let me know what you think of the experimental GPU support

Release Highlights for scikit-learn 1.8

We are pleased to announce the release of scikit-learn 1.8! Many bug fixes and improvements were added, as well as some key new features. Below we detail the highlights of this release. For an exha...

scikit-learn.org

JupyterLab 4.5 and Jupyter Notebook 7.5 are here! 🎉 Highlights 🎁 - Enhanced notebook scrolling behavior - Native audio and video support - New Terminal search - Debugger, Notebook and File Browser improvements Check out the blog post to learn more! blog.jupyter.org/jupyterlab-4...

JupyterLab 4.5 and Notebook 7.5 are available!

JupyterLab 4.5 has been released! This new minor release of JupyterLab includes 51 new features and enhancements, 81 bug fixes, 44…

blog.jupyter.org

LeJEPA: a novel pretraining paradigm free of the (many) heuristics we relied on (stop-grad, teacher, ...) - 60+ arch., up to 2B params - 10+ datasets - in-domain training (>DINOv3) - corr(train loss, test perf)=95%

The Python Software Foundation was recommended for a $1.5M grant from the National Science Foundation. The terms of the award said PSF could not work on DEI, whether or not the grant funding was used for it. PSF therefore declined the funding. Science suffers, but commitment to core values remains

Python Software Foundation@python.org · 9mo ago

TLDR; The PSF has made the decision to put our community and our shared diversity, equity, and inclusion values ahead of seeking $1.5M in new revenue. Please read and share. pyfound.blogspot.com/2025/10/NSF-... 🧵

⚡ Release 0.6.2 is out ⚡ github.com/skrub-data/s...

Release 0.6.2 · skrub-data/skrub

New features The DataOp.skb.full_report() now displays the time each node took to evaluate. #1596 by Jérôme Dockès. The User guide has been reworked and expanded. Changes and deprecations Ken em...

github.com

I will speak about probabilistic regressions, @skrub-data.bsky.social and skore contributors will also present their libraries. Come join us!

scikit-learn@scikit-learn.org · 10mo ago

A bunch of scikit-learn core contributors will attend or speak at @pydataparis.bsky.social 2025 on Tuesday and Wednesday next week. Ticketing, practical infos and schedule at: pydata.org/paris2025

scikit-learn 1.8 will be the first scikit-learn release with native extensions that are officially marked as free-threading compatible. github.com/scikit-learn...

MNT Mark cython extensions as free-threaded compatible by lesteve · Pull Request #31342 · scikit-learn/scikit-learn

Part of #30007 Cython 3.1 has been released on May 8 2025. Following scipy PR scipy/scipy#22658 to use -Xfreethreading_compatible=True cython argument if cython >= 3.1 This cleans up the lock-fi...

github.com

We’re happy to announce our Social Event, taking place on Tuesday 30th September at 6pm at the Cité des sciences. A perfect opportunity to unwind and connect with fellow attendees after a day of interesting talks! pydata.org/paris2025/so... pydata.org/paris2025/ti...

Looking forward to attending PyData Paris 2025! I will give a talk about probabilistic predictions for regression problems (I need to start working on my slides ;)

Compute! Paris@computeparis.bsky.social · 11mo ago

📢 Talk Announcement "Probabilistic regression models: let's compare different modeling strategies and discuss how to evaluate them", by @ogrisel.bsky.social from @probabl.ai . 📜 pretalx.com/pydata-paris-2025/talk/DVMZBT 📅 pydata.org/paris2025/schedule 🎟 pydata.org/paris2025/tickets

👋 JupyterLab and Jupyter Notebook users: What's one thing you'd love to see improved in JupyterLab, Jupyter Notebook, or JupyterLite? The team is prepping the upcoming 4.5/7.5 releases and wants to tackle some usability issues. Drop your feedback below, this will help prioritize what gets fixed!👇

Today at #EuroScipy2025, @glemaitre58.bsky.social and I presented a tutorial on pitfalls of machine learning for imbalanced classification problems. We discussed what (not) to do when fitting a classifier and obtaining degenerate precision or recall values. probabl-ai.github.io/calibration-...

Attending the @skrub-data.bsky.social tutorial by @riccardocappuzzo.com and @glemaitre58.bsky.social at #EuroScipy2025. They introduce the new DataOps feature released in skrub 0.6. Here is the repo with the material for the tutorial: github.com/skrub-data/E...

🚨What is SOTA on tabular data, really? We are excited to announce 𝗧𝗮𝗯𝗔𝗿𝗲𝗻𝗮, a living benchmark for machine learning on IID tabular data with: 📊 an online leaderboard (submit!) 📑 carefully curated datasets 📈 strong tree-based, deep learning, and foundation models 🧵

👨‍🎓🧾✨#icml2025 Paper: TabICL, A Tabular Foundation Model for In-Context Learning on Large Data With Jingang Qu, @dholzmueller.bsky.social, and Marine Le Morvan TL;DR: a well-designed architecture and pretraining gives best tabular learner, and more scalable On top, it's 100% open source 1/9

Excited to have co-contributed the SquashingScaler, which implements the robust numerical preprocessing from RealMLP!

Skrub@skrub-data.bsky.social · last yr.

⚡ Release 0.6.0 is now out! ⚡ 🚀 Major update! Skrub DataOps, various improvements for the TableReport, new tools for applying transformers to the columns, and a new robust transformer for numerical features are only some of the features included in this release.

I got 3rd out of 691 in a tabular kaggle competition – with only neural networks! 🥉 My solution is short (48 LOC) and relatively general-purpose – I used skrub to preprocess string and date columns, and pytabkit to create an ensemble of RealMLP and TabM models. Link below👇

We are excited to announce that the schedule for PyData Paris 2025 has been released! Discover the incredible lineup of speakers we have in store for you. Don't miss out on this chance to learn, connect, and grow. Save the date and get your ticket! pydata.org/paris2025/sc...

Schedule — PyData Paris 2025

pydata.org

Then why does flow matching generalize?? Because it fails! The inductive bias of the neural network prevents from perfectly learning u* and overfitting. In particular neural networks fail to learn the velocity field for two particular time values. See the paper for a finer analysis 😀

📢 Last Chance! Don't miss out! Early bird tickets are available only until the end of the day. Grab yours now and save! pydata.org/paris2025/ti...

Tickets — PyData Paris 2025

Cité des Sciences

pydata.org

📢 Time is Running Out! Only a few days left to grab your early bird tickets! Don't wait—this special offer ends Sunday at the end of the day. Secure yours now! pydata.org/paris2025/ti...

Tickets — PyData Paris 2025

pydata.org